TY - GEN
T1 - Adaptive control and optimal task distribution of multi-robot systems
AU - SONG, Y. D.
PY - 1994
Y1 - 1994
N2 - A strategy for adaptive control and optimal task distribution of multi-robot systems is proposed. The novelty of the strategy lies in the fact that the detailed description of the robot/payload dynamics is not required and that much less on-line computation is involved in the strategy. Moreover, the strategy achieves optimal task sharing under force constraints arising from fine manipulation of payload.
AB - A strategy for adaptive control and optimal task distribution of multi-robot systems is proposed. The novelty of the strategy lies in the fact that the detailed description of the robot/payload dynamics is not required and that much less on-line computation is involved in the strategy. Moreover, the strategy achieves optimal task sharing under force constraints arising from fine manipulation of payload.
UR - https://www.scopus.com/pages/publications/0028756233
U2 - 10.1109/CDC.1994.411692
DO - 10.1109/CDC.1994.411692
M3 - Conference paper (refereed)
AN - SCOPUS:0028756233
SN - 0780319680
VL - 4
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 3518
EP - 3523
BT - Proceedings of 1994 33rd IEEE Conference on Decision and Control
PB - IEEE
T2 - 33rd IEEE Conference on Decision and Control
Y2 - 14 December 1994 through 16 December 1994
ER -